
System Architecture
DeepSense nodes form the LoRa mesh and uplink to gateways. Vehicles report into nodes. Drones refresh firmware and harvest edge data. Officers receive alerts through cloud apps and dashboards.
Signal paths
Nodes mesh and uplink to gateways. Vehicles report into nodes. Drones refresh firmware and harvest edge logs. Alerts reach officers through the cloud and field apps.
Drone role
On a scheduled circuit the Odraix drone visits each DeepSense unit: push signed firmware and AI models down, pull encrypted edge logs up, then fly to the next node. Sensing and alert uplink stay with the canopy mesh and gateway; the drone keeps every node current and collected.
Layers
On the LoRa mesh
DeepSense nodes form the mesh — fusing acoustic, gas and night vision on-device, then sending classified signals across the mesh toward gateways.
Signal into nodes
Patrol vehicles send location and status signals to nearby DeepSense nodes. Vehicles talk to the node layer — they are not mesh routers themselves.
Receives mesh uplinks
Odra Gateway sits at the edge of the forest mesh, aggregates traffic from nodes, buffers offline, and backhauls over 4G or satellite to the cloud.
Firmware + data harvest
Flies node to node on a scheduled circuit — signed firmware and models down, encrypted edge logs up — then moves on to the next DeepSense unit.
India Cloud · AI + storage
Gateway backhaul lands in secure cloud storage and analytics — maps, trends and audit trails for forest administrators.
Apps & cloud alerts
OdraTrack and command dashboards deliver classified alerts, SOS and patrol status after gateway backhaul reaches the cloud.
Operational flows
From a handful of DeepSense nodes to a full canopy mesh with drone servicing and officer apps — we design the architecture with you.